Análisis Exploratorio de Melbourne Housing

Dataset statistics

Number of variables	21
Number of observations	57770
Missing cells	167150
Missing cells (%)	13.8%
Duplicate rows	27884
Duplicate rows (%)	48.3%
Total size in memory	9.4 MiB
Average record size in memory	171.1 B

Variable types

Numeric	12
Categorical	8
DateTime	1

Alerts

Dataset has 27884 (48.3%) duplicate rows	Duplicates
`SellerG` has a high cardinality: 363 distinct values	High cardinality
`Postcode` has a high cardinality: 208 distinct values	High cardinality
`Address` has a high cardinality: 27304 distinct values	High cardinality
`Suburb` has a high cardinality: 347 distinct values	High cardinality
`Bathroom` is highly overall correlated with `Bedroom2` and 2 other fields	High correlation
`Bedroom2` is highly overall correlated with `Bathroom` and 2 other fields	High correlation
`BuildingArea` is highly overall correlated with `Bathroom` and 3 other fields	High correlation
`CouncilArea` is highly overall correlated with `Distance` and 3 other fields	High correlation
`Distance` is highly overall correlated with `CouncilArea`	High correlation
`Lattitude` is highly overall correlated with `CouncilArea`	High correlation
`Longtitude` is highly overall correlated with `CouncilArea` and 1 other fields	High correlation
`Price` is highly overall correlated with `BuildingArea` and 1 other fields	High correlation
`Regionname` is highly overall correlated with `CouncilArea` and 1 other fields	High correlation
`Rooms` is highly overall correlated with `Bathroom` and 3 other fields	High correlation
`Longtitude` has 13208 (22.9%) missing values	Missing
`BuildingArea` has 34904 (60.4%) missing values	Missing
`Landsize` has 19563 (33.9%) missing values	Missing
`Price` has 12581 (21.8%) missing values	Missing
`Bathroom` has 13627 (23.6%) missing values	Missing
`Car` has 14477 (25.1%) missing values	Missing
`Bedroom2` has 13615 (23.6%) missing values	Missing
`Lattitude` has 13208 (22.9%) missing values	Missing
`YearBuilt` has 31927 (55.3%) missing values	Missing
`BuildingArea` is highly skewed (γ1 = 23.97029648)	Skewed
`Landsize` is highly skewed (γ1 = 90.36563886)	Skewed
`Address` is uniformly distributed	Uniform
`Landsize` has 4021 (7.0%) zeros	Zeros
`Car` has 2765 (4.8%) zeros	Zeros

Reproduction

Analysis started	2025-02-27 05:04:15.251948
Analysis finished	2025-02-27 05:04:39.148779
Duration	23.9 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Longtitude
Real number (ℝ)

High correlation Missing

Distinct	12436
Distinct (%)	27.9%
Missing	13208
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%
Mean	145.00123

Minimum	144.43162
Maximum	145.52635
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	451.5 KiB

Quantile statistics

Minimum	144.43162
5-th percentile	144.79764
Q1	144.9325
median	145.0071
Q3	145.07167
95-th percentile	145.18737
Maximum	145.52635
Range	1.09473
Interquartile range (IQR)	0.13917

Descriptive statistics

Standard deviation	0.12049394
Coefficient of variation (CV)	0.00083098563
Kurtosis	1.4972509
Mean	145.00123
Median Absolute Deviation (MAD)	0.0686
Skewness	-0.38359525
Sum	6461545
Variance	0.01451879
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
145.0001	33	0.1%
144.9966	32	0.1%
145.0104	32	0.1%
144.9679	31	0.1%
144.985	29	0.1%
145.0545	29	0.1%
145.0118	29	0.1%
144.9911	29	0.1%
145.0451	27	< 0.1%
144.9974	27	< 0.1%
Other values (12426)	44264	76.6%
(Missing)	13208	22.9%

Value	Count	Frequency (%)
144.43162	2	< 0.1%
144.43181	2	< 0.1%
144.4394	2	< 0.1%
144.49	2	< 0.1%
144.4926	2	< 0.1%
144.513	2	< 0.1%
144.5206	2	< 0.1%
144.53828	2	< 0.1%
144.54022	2	< 0.1%
144.54237	2	< 0.1%

Value	Count	Frequency (%)
145.52635	2	< 0.1%
145.5237	2	< 0.1%
145.51137	2	< 0.1%
145.48273	2	< 0.1%
145.48246	2	< 0.1%
145.4779	3	< 0.1%
145.47282	2	< 0.1%
145.47262	2	< 0.1%
145.47052	2	< 0.1%
145.46784	2	< 0.1%

BuildingArea
Real number (ℝ)

High correlation Missing Skewed

Distinct	672
Distinct (%)	2.9%
Missing	34904
Missing (%)	60.4%
Infinite	0
Infinite (%)	0.0%
Mean	157.49902

Minimum	0
Maximum	6791
Zeros	136
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	451.5 KiB

Quantile statistics

Minimum	0
5-th percentile	56
Q1	102
median	136
Q3	188
95-th percentile	309
Maximum	6791
Range	6791
Interquartile range (IQR)	86

Descriptive statistics

Standard deviation	146.18108
Coefficient of variation (CV)	0.92813963
Kurtosis	908.077
Mean	157.49902
Median Absolute Deviation (MAD)	40
Skewness	23.970296
Sum	3601372.5
Variance	21368.908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	293	0.5%
110	275	0.5%
100	274	0.5%
130	261	0.5%
115	241	0.4%
140	226	0.4%
160	217	0.4%
150	217	0.4%
125	200	0.3%
112	195	0.3%
Other values (662)	20467	35.4%
(Missing)	34904	60.4%

Value	Count	Frequency (%)
0	136	0.2%
0.01	2	< 0.1%
1	24	< 0.1%
2	37	0.1%
3	42	0.1%
4	8	< 0.1%
5	6	< 0.1%
9	3	< 0.1%
11	2	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
6791	2	< 0.1%
6178	3	< 0.1%
4645	2	< 0.1%
3647	3	< 0.1%
3558	2	< 0.1%
3112	2	< 0.1%
1143	2	< 0.1%
1044	2	< 0.1%
1022	2	< 0.1%
999	2	< 0.1%

Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	56.8 KiB

h	39806
u	12062
t	5900

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	57768
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	h
2nd row	h
3rd row	h
4th row	u
5th row	u

Common Values

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%
(Missing)	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%

Most occurring characters

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	57768	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	57768	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	57768	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	39806	68.9%
u	12062	20.9%
t	5900	10.2%

SellerG
Categorical

High cardinality

Distinct	363
Distinct (%)	0.6%
Missing	2
Missing (%)	< 0.1%
Memory size	140.8 KiB

Jellis	5663
Barry	5321
Nelson	5288
hockingstuart	4318
Marshall	3400
Other values (358)	33778

Length

Max length	27
Median length	22
Mean length	6.2819727
Min length	1

Characters and Unicode

Total characters	362897
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Buxton
2nd row	hockingstuart
3rd row	YPA
4th row	Buxton
5th row	MICM

Common Values

Value	Count	Frequency (%)
Jellis	5663	9.8%
Barry	5321	9.2%
Nelson	5288	9.2%
hockingstuart	4318	7.5%
Marshall	3400	5.9%
Ray	3227	5.6%
Buxton	3068	5.3%
Biggin	1512	2.6%
Fletchers	1400	2.4%
Brad	1156	2.0%
Other values (353)	23415	40.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
jellis	5663	9.8%
barry	5321	9.2%
nelson	5288	9.2%
hockingstuart	4318	7.5%
marshall	3400	5.9%
ray	3227	5.6%
buxton	3068	5.3%
biggin	1512	2.6%
fletchers	1400	2.4%
brad	1156	2.0%
Other values (349)	23415	40.5%

Most occurring characters

Value	Count	Frequency (%)
l	32464	8.9%
a	31601	8.7%
r	30341	8.4%
s	27475	7.6%
e	26111	7.2%
o	22203	6.1%
n	20436	5.6%
i	20005	5.5%
t	16643	4.6%
B	12309	3.4%
Other values (48)	123309	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	362897	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	32464	8.9%
a	31601	8.7%
r	30341	8.4%
s	27475	7.6%
e	26111	7.2%
o	22203	6.1%
n	20436	5.6%
i	20005	5.5%
t	16643	4.6%
B	12309	3.4%
Other values (48)	123309	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	362897	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	32464	8.9%
a	31601	8.7%
r	30341	8.4%
s	27475	7.6%
e	26111	7.2%
o	22203	6.1%
n	20436	5.6%
i	20005	5.5%
t	16643	4.6%
B	12309	3.4%
Other values (48)	123309	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	362897	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	32464	8.9%
a	31601	8.7%
r	30341	8.4%
s	27475	7.6%
e	26111	7.2%
o	22203	6.1%
n	20436	5.6%
i	20005	5.5%
t	16643	4.6%
B	12309	3.4%
Other values (48)	123309	34.0%

Distance
Real number (ℝ)

High correlation

Distinct	213
Distinct (%)	0.4%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	11.190472

Minimum	0
Maximum	48.1
Zeros	118
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	451.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2.7
Q1	6.4
median	10.3
Q3	14
95-th percentile	24.7
Maximum	48.1
Range	48.1
Interquartile range (IQR)	7.6

Descriptive statistics

Standard deviation	6.8051067
Coefficient of variation (CV)	0.60811615
Kurtosis	3.5869426
Mean	11.190472
Median Absolute Deviation (MAD)	3.9
Skewness	1.5074681
Sum	646428.8
Variance	46.309477
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.2	2320	4.0%
7.8	1115	1.9%
13.8	1114	1.9%
9.2	1109	1.9%
10.5	1107	1.9%
8.4	1008	1.7%
4.6	966	1.7%
14.7	930	1.6%
5.2	929	1.6%
11.4	827	1.4%
Other values (203)	46341	80.2%

Value	Count	Frequency (%)
0	118	0.2%
0.7	46	0.1%
1.2	76	0.1%
1.3	50	0.1%
1.4	10	< 0.1%
1.5	48	0.1%
1.6	328	0.6%
1.8	262	0.5%
1.9	246	0.4%
2	93	0.2%

Value	Count	Frequency (%)
48.1	8	< 0.1%
47.4	12	< 0.1%
47.3	31	0.1%
45.9	63	0.1%
45.2	4	< 0.1%
44.2	34	0.1%
43.4	2	< 0.1%
43.3	10	< 0.1%
41	31	0.1%
39.8	4	< 0.1%

Landsize
Real number (ℝ)

Missing Skewed Zeros

Distinct	1590
Distinct (%)	4.2%
Missing	19563
Missing (%)	33.9%
Infinite	0
Infinite (%)	0.0%
Mean	603.21849

Minimum	0
Maximum	433014
Zeros	4021
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	451.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	225
median	523
Q3	670
95-th percentile	1000
Maximum	433014
Range	433014
Interquartile range (IQR)	445

Descriptive statistics

Standard deviation	3689.3089
Coefficient of variation (CV)	6.1160408
Kurtosis	10059.087
Mean	603.21849
Median Absolute Deviation (MAD)	210
Skewness	90.365639
Sum	23047169
Variance	13611000
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4021	7.0%
650	324	0.6%
697	202	0.3%
585	159	0.3%
604	135	0.2%
696	127	0.2%
700	127	0.2%
534	123	0.2%
530	119	0.2%
652	114	0.2%
Other values (1580)	32756	56.7%
(Missing)	19563	33.9%

Value	Count	Frequency (%)
0	4021	7.0%
1	4	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
5	2	< 0.1%
10	2	< 0.1%
14	2	< 0.1%
15	4	< 0.1%
17	3	< 0.1%
28	3	< 0.1%

Value	Count	Frequency (%)
433014	2	< 0.1%
146699	2	< 0.1%
89030	2	< 0.1%
80000	2	< 0.1%
76000	2	< 0.1%
75100	2	< 0.1%
42800	2	< 0.1%
41400	2	< 0.1%
40500	2	< 0.1%
40469	2	< 0.1%

Postcode
Categorical

High cardinality

Distinct	208
Distinct (%)	0.4%
Missing	4
Missing (%)	< 0.1%
Memory size	122.7 KiB

3073.0	1381
3020.0	1059
3046.0	1018
3121.0	999
3165.0	962
Other values (203)	52347

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	346596
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3165.0
2nd row	3188.0
3rd row	3064.0
4th row	3186.0
5th row	3000.0

Common Values

Value	Count	Frequency (%)
3073.0	1381	2.4%
3020.0	1059	1.8%
3046.0	1018	1.8%
3121.0	999	1.7%
3165.0	962	1.7%
3040.0	937	1.6%
3058.0	908	1.6%
3012.0	861	1.5%
3204.0	850	1.5%
3146.0	838	1.5%
Other values (198)	47953	83.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3073.0	1381	2.4%
3020.0	1059	1.8%
3046.0	1018	1.8%
3121.0	999	1.7%
3165.0	962	1.7%
3040.0	937	1.6%
3058.0	908	1.6%
3012.0	861	1.5%
3204.0	850	1.5%
3146.0	838	1.5%
Other values (198)	47953	83.0%

Most occurring characters

Value	Count	Frequency (%)
0	97758	28.2%
3	70032	20.2%
.	57766	16.7%
1	37155	10.7%
2	16399	4.7%
4	15900	4.6%
8	12087	3.5%
6	11487	3.3%
7	11144	3.2%
5	10875	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	346596	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	97758	28.2%
3	70032	20.2%
.	57766	16.7%
1	37155	10.7%
2	16399	4.7%
4	15900	4.6%
8	12087	3.5%
6	11487	3.3%
7	11144	3.2%
5	10875	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	346596	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	97758	28.2%
3	70032	20.2%
.	57766	16.7%
1	37155	10.7%
2	16399	4.7%
4	15900	4.6%
8	12087	3.5%
6	11487	3.3%
7	11144	3.2%
5	10875	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	346596	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	97758	28.2%
3	70032	20.2%
.	57766	16.7%
1	37155	10.7%
2	16399	4.7%
4	15900	4.6%
8	12087	3.5%
6	11487	3.3%
7	11144	3.2%
5	10875	3.1%

Date
Date

Distinct	78
Distinct (%)	0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	451.5 KiB

Minimum	2016-01-28 00:00:00
Maximum	2018-10-03 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Price
Real number (ℝ)

High correlation Missing

Distinct	2638
Distinct (%)	5.8%
Missing	12581
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%
Mean	1054870.5

Minimum	85000
Maximum	11200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	451.5 KiB

Quantile statistics

Minimum	85000
5-th percentile	415000
Q1	637000
median	875000
Q3	1300000
95-th percentile	2250000
Maximum	11200000
Range	11115000
Interquartile range (IQR)	663000

Descriptive statistics

Standard deviation	646682.05
Coefficient of variation (CV)	0.61304403
Kurtosis	13.705671
Mean	1054870.5
Median Absolute Deviation (MAD)	295000
Skewness	2.6286281
Sum	4.7668542 × 10¹⁰
Variance	4.1819768 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600000	412	0.7%
650000	383	0.7%
1100000	368	0.6%
800000	361	0.6%
1300000	356	0.6%
1000000	352	0.6%
1200000	351	0.6%
700000	329	0.6%
750000	329	0.6%
900000	319	0.6%
Other values (2628)	41629	72.1%
(Missing)	12581	21.8%

Value	Count	Frequency (%)
85000	2	< 0.1%
121000	2	< 0.1%
145000	4	< 0.1%
160000	2	< 0.1%
170000	4	< 0.1%
185000	4	< 0.1%
200000	4	< 0.1%
210000	7	< 0.1%
211000	2	< 0.1%
215000	2	< 0.1%

Value	Count	Frequency (%)
11200000	2	< 0.1%
9000000	2	< 0.1%
8000000	2	< 0.1%
7650000	2	< 0.1%
7000000	2	< 0.1%
6800000	2	< 0.1%
6600000	2	< 0.1%
6500000	2	< 0.1%
6460000	2	< 0.1%
6400000	4	< 0.1%

Bathroom
Real number (ℝ)

High correlation Missing

Distinct	10
Distinct (%)	< 0.1%
Missing	13627
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%
Mean	1.6247197

Minimum	0
Maximum	9
Zeros	88
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.72122438
Coefficient of variation (CV)	0.44390697
Kurtosis	3.5314865
Mean	1.6247197
Median Absolute Deviation (MAD)	1
Skewness	1.266452
Sum	71720
Variance	0.5201646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	21442	37.1%
2	18399	31.8%
3	3601	6.2%
4	455	0.8%
5	115	0.2%
0	88	0.2%
6	29	0.1%
7	6	< 0.1%
8	6	< 0.1%
9	2	< 0.1%
(Missing)	13627	23.6%

Value	Count	Frequency (%)
0	88	0.2%
1	21442	37.1%
2	18399	31.8%
3	3601	6.2%
4	455	0.8%
5	115	0.2%
6	29	0.1%
7	6	< 0.1%
8	6	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	6	< 0.1%
7	6	< 0.1%
6	29	0.1%
5	115	0.2%
4	455	0.8%
3	3601	6.2%
2	18399	31.8%
1	21442	37.1%
0	88	0.2%

Rooms
Real number (ℝ)

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	3.0338769

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	16
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.97322244
Coefficient of variation (CV)	0.32078508
Kurtosis	2.9885294
Mean	3.0338769
Median Absolute Deviation (MAD)	1
Skewness	0.53782689
Sum	175261
Variance	0.94716193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	24972	43.2%
2	13738	23.8%
4	13227	22.9%
5	2927	5.1%
1	2467	4.3%
6	334	0.6%
7	45	0.1%
8	30	0.1%
10	10	< 0.1%
12	8	< 0.1%
Other values (2)	10	< 0.1%

Value	Count	Frequency (%)
1	2467	4.3%
2	13738	23.8%
3	24972	43.2%
4	13227	22.9%
5	2927	5.1%
6	334	0.6%
7	45	0.1%
8	30	0.1%
9	8	< 0.1%
10	10	< 0.1%

Value	Count	Frequency (%)
16	2	< 0.1%
12	8	< 0.1%
10	10	< 0.1%
9	8	< 0.1%
8	30	0.1%
7	45	0.1%
6	334	0.6%
5	2927	5.1%
4	13227	22.9%
3	24972	43.2%

Regionname
Categorical

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	6
Missing (%)	< 0.1%
Memory size	57.4 KiB

Southern Metropolitan	19653
Northern Metropolitan	15679
Western Metropolitan	11426
Eastern Metropolitan	7221
South-Eastern Metropolitan	2886
Other values (3)	899

Length

Max length	26
Median length	21
Mean length	20.855117
Min length	16

Characters and Unicode

Total characters	1204675
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Southern Metropolitan
2nd row	Southern Metropolitan
3rd row	Northern Metropolitan
4th row	Southern Metropolitan
5th row	Northern Metropolitan

Common Values

Value	Count	Frequency (%)
Southern Metropolitan	19653	34.0%
Northern Metropolitan	15679	27.1%
Western Metropolitan	11426	19.8%
Eastern Metropolitan	7221	12.5%
South-Eastern Metropolitan	2886	5.0%
Eastern Victoria	385	0.7%
Northern Victoria	343	0.6%
Western Victoria	171	0.3%
(Missing)	6	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
metropolitan	56865	49.2%
southern	19653	17.0%
northern	16022	13.9%
western	11597	10.0%
eastern	7606	6.6%
south-eastern	2886	2.5%
victoria	899	0.8%

Most occurring characters

Value	Count	Frequency (%)
t	175279	14.5%
o	153190	12.7%
r	131550	10.9%
e	126226	10.5%
n	114629	9.5%
a	68256	5.7%
i	58663	4.9%
	57764	4.8%
p	56865	4.7%
l	56865	4.7%
Other values (11)	205388	17.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1204675	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	175279	14.5%
o	153190	12.7%
r	131550	10.9%
e	126226	10.5%
n	114629	9.5%
a	68256	5.7%
i	58663	4.9%
	57764	4.8%
p	56865	4.7%
l	56865	4.7%
Other values (11)	205388	17.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1204675	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	175279	14.5%
o	153190	12.7%
r	131550	10.9%
e	126226	10.5%
n	114629	9.5%
a	68256	5.7%
i	58663	4.9%
	57764	4.8%
p	56865	4.7%
l	56865	4.7%
Other values (11)	205388	17.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1204675	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	175279	14.5%
o	153190	12.7%
r	131550	10.9%
e	126226	10.5%
n	114629	9.5%
a	68256	5.7%
i	58663	4.9%
	57764	4.8%
p	56865	4.7%
l	56865	4.7%
Other values (11)	205388	17.0%

Car
Real number (ℝ)

Missing Zeros

Distinct	14
Distinct (%)	< 0.1%
Missing	14477
Missing (%)	25.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.7290786

Minimum	0
Maximum	26
Zeros	2765
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	26
Range	26
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0122524
Coefficient of variation (CV)	0.58542881
Kurtosis	23.07582
Mean	1.7290786
Median Absolute Deviation (MAD)	1
Skewness	2.1366567
Sum	74857
Variance	1.024655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
2	20190	34.9%
1	15096	26.1%
0	2765	4.8%
3	2733	4.7%
4	1933	3.3%
5	243	0.4%
6	234	0.4%
7	45	0.1%
8	36	0.1%
10	10	< 0.1%
Other values (4)	8	< 0.1%
(Missing)	14477	25.1%

Value	Count	Frequency (%)
0	2765	4.8%
1	15096	26.1%
2	20190	34.9%
3	2733	4.7%
4	1933	3.3%
5	243	0.4%
6	234	0.4%
7	45	0.1%
8	36	0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
26	2	< 0.1%
18	2	< 0.1%
11	2	< 0.1%
10	10	< 0.1%
9	2	< 0.1%
8	36	0.1%
7	45	0.1%
6	234	0.4%
5	243	0.4%
4	1933	3.3%

CouncilArea
Categorical

High correlation

Distinct	33
Distinct (%)	0.1%
Missing	6
Missing (%)	< 0.1%
Memory size	59.9 KiB

Boroondara City Council	6192
Darebin City Council	4637
Moreland City Council	3481
Glen Eira City Council	3279
Melbourne City Council	3226
Other values (28)	36949

Length

Max length	30
Median length	26
Mean length	21.746486
Min length	17

Characters and Unicode

Total characters	1256164
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Glen Eira City Council
2nd row	Bayside City Council
3rd row	Hume City Council
4th row	Bayside City Council
5th row	Melbourne City Council

Common Values

Value	Count	Frequency (%)
Boroondara City Council	6192	10.7%
Darebin City Council	4637	8.0%
Moreland City Council	3481	6.0%
Glen Eira City Council	3279	5.7%
Melbourne City Council	3226	5.6%
Banyule City Council	3087	5.3%
Moonee Valley City Council	2977	5.2%
Bayside City Council	2938	5.1%
Brimbank City Council	2686	4.6%
Maribyrnong City Council	2463	4.3%
Other values (23)	22798	39.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
council	57764	31.4%
city	57275	31.1%
boroondara	6192	3.4%
darebin	4637	2.5%
moreland	3481	1.9%
glen	3279	1.8%
eira	3279	1.8%
melbourne	3226	1.8%
banyule	3087	1.7%
moonee	2977	1.6%
Other values (31)	38841	21.1%

Most occurring characters

Value	Count	Frequency (%)
i	144208	11.5%
	126274	10.1%
n	119868	9.5%
C	115396	9.2%
o	110273	8.8%
l	83231	6.6%
y	71652	5.7%
t	70952	5.6%
u	66226	5.3%
c	57881	4.6%
Other values (27)	290203	23.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1256164	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	144208	11.5%
	126274	10.1%
n	119868	9.5%
C	115396	9.2%
o	110273	8.8%
l	83231	6.6%
y	71652	5.7%
t	70952	5.6%
u	66226	5.3%
c	57881	4.6%
Other values (27)	290203	23.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1256164	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	144208	11.5%
	126274	10.1%
n	119868	9.5%
C	115396	9.2%
o	110273	8.8%
l	83231	6.6%
y	71652	5.7%
t	70952	5.6%
u	66226	5.3%
c	57881	4.6%
Other values (27)	290203	23.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1256164	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	144208	11.5%
	126274	10.1%
n	119868	9.5%
C	115396	9.2%
o	110273	8.8%
l	83231	6.6%
y	71652	5.7%
t	70952	5.6%
u	66226	5.3%
c	57881	4.6%
Other values (27)	290203	23.1%

Address
Categorical

High cardinality Uniform

Distinct	27304
Distinct (%)	47.3%
Missing	2
Missing (%)	< 0.1%
Memory size	2.7 MiB

5 Charles St	8
9 Margaret St	7
13 Robinson St	7
39 Moore St	7
57 Bay Rd	7
Other values (27299)	57732

Length

Max length	27
Median length	24
Mean length	13.559497
Min length	8

Characters and Unicode

Total characters	783305
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	794 North Rd
2nd row	10 Fewster Rd
3rd row	11 Abercarn Av
4th row	6/105 Cochrane St
5th row	608/547 Flinders La

Common Values

Value	Count	Frequency (%)
5 Charles St	8	< 0.1%
9 Margaret St	7	< 0.1%
13 Robinson St	7	< 0.1%
39 Moore St	7	< 0.1%
57 Bay Rd	7	< 0.1%
1088 Toorak Rd	7	< 0.1%
14 Rose St	6	< 0.1%
12 Grandview Av	6	< 0.1%
33 McCracken St	6	< 0.1%
53 William St	6	< 0.1%
Other values (27294)	57701	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	28660	16.5%
rd	10811	6.2%
av	5594	3.2%
ct	2948	1.7%
dr	2051	1.2%
cr	1967	1.1%
gr	1201	0.7%
3	1185	0.7%
4	1119	0.6%
5	1057	0.6%
Other values (11442)	117523	67.5%

Most occurring characters

Value	Count	Frequency (%)
	116348	14.9%
t	49342	6.3%
e	41329	5.3%
r	37904	4.8%
a	36615	4.7%
S	32742	4.2%
n	31500	4.0%
1	29981	3.8%
o	28158	3.6%
l	27700	3.5%
Other values (54)	351686	44.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	783305	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	116348	14.9%
t	49342	6.3%
e	41329	5.3%
r	37904	4.8%
a	36615	4.7%
S	32742	4.2%
n	31500	4.0%
1	29981	3.8%
o	28158	3.6%
l	27700	3.5%
Other values (54)	351686	44.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	783305	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	116348	14.9%
t	49342	6.3%
e	41329	5.3%
r	37904	4.8%
a	36615	4.7%
S	32742	4.2%
n	31500	4.0%
1	29981	3.8%
o	28158	3.6%
l	27700	3.5%
Other values (54)	351686	44.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	783305	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	116348	14.9%
t	49342	6.3%
e	41329	5.3%
r	37904	4.8%
a	36615	4.7%
S	32742	4.2%
n	31500	4.0%
1	29981	3.8%
o	28158	3.6%
l	27700	3.5%
Other values (54)	351686	44.9%

Method
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	57.3 KiB

S	32690
SP	8434
PI	8057
VB	5181
SN	2231
Other values (4)	1175

Length

Max length	2
Median length	1
Mean length	1.4295804
Min length	1

Characters and Unicode

Total characters	82584
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	S
4th row	SP
5th row	S

Common Values

Value	Count	Frequency (%)
S	32690	56.6%
SP	8434	14.6%
PI	8057	13.9%
VB	5181	9.0%
SN	2231	3.9%
PN	489	0.8%
SA	364	0.6%
W	262	0.5%
SS	60	0.1%
(Missing)	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	32690	56.6%
sp	8434	14.6%
pi	8057	13.9%
vb	5181	9.0%
sn	2231	3.9%
pn	489	0.8%
sa	364	0.6%
w	262	0.5%
ss	60	0.1%

Most occurring characters

Value	Count	Frequency (%)
S	43839	53.1%
P	16980	20.6%
I	8057	9.8%
V	5181	6.3%
B	5181	6.3%
N	2720	3.3%
A	364	0.4%
W	262	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82584	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	43839	53.1%
P	16980	20.6%
I	8057	9.8%
V	5181	6.3%
B	5181	6.3%
N	2720	3.3%
A	364	0.4%
W	262	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82584	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	43839	53.1%
P	16980	20.6%
I	8057	9.8%
V	5181	6.3%
B	5181	6.3%
N	2720	3.3%
A	364	0.4%
W	262	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82584	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	43839	53.1%
P	16980	20.6%
I	8057	9.8%
V	5181	6.3%
B	5181	6.3%
N	2720	3.3%
A	364	0.4%
W	262	0.3%

Propertycount
Real number (ℝ)

Distinct	338
Distinct (%)	0.6%
Missing	6
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	7576.2494

Minimum	83
Maximum	21650
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	83
5-th percentile	2185
Q1	4385
median	6763
Q3	10412
95-th percentile	15510
Maximum	21650
Range	21567
Interquartile range (IQR)	6027

Descriptive statistics

Standard deviation	4420.2191
Coefficient of variation (CV)	0.58343104
Kurtosis	0.88656299
Mean	7576.2494
Median Absolute Deviation (MAD)	2775
Skewness	0.98918052
Sum	4.3763447 × 10⁸
Variance	19538337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21650	1381	2.4%
8870	1156	2.0%
10969	962	1.7%
14949	902	1.6%
10412	838	1.5%
10331	777	1.3%
10579	764	1.3%
14577	759	1.3%
11918	734	1.3%
8920	730	1.3%
Other values (328)	48761	84.4%

Value	Count	Frequency (%)
83	2	< 0.1%
121	2	< 0.1%
129	2	< 0.1%
242	2	< 0.1%
249	8	< 0.1%
290	4	< 0.1%
335	3	< 0.1%
389	21	< 0.1%
394	30	0.1%
438	20	< 0.1%

Value	Count	Frequency (%)
21650	1381	2.4%
17496	351	0.6%
17384	31	0.1%
17093	90	0.2%
17055	208	0.4%
16166	295	0.5%
15542	213	0.4%
15510	410	0.7%
15321	397	0.7%
14949	902	1.6%

Bedroom2
Real number (ℝ)

High correlation Missing

Distinct	14
Distinct (%)	< 0.1%
Missing	13615
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%
Mean	3.0851319

Minimum	0
Maximum	20
Zeros	32
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	20
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.96911808
Coefficient of variation (CV)	0.31412533
Kurtosis	7.021931
Mean	3.0851319
Median Absolute Deviation (MAD)	1
Skewness	0.71334238
Sum	136224
Variance	0.93918986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	19704	34.1%
4	10524	18.2%
2	9515	16.5%
5	2411	4.2%
1	1616	2.8%
6	269	0.5%
7	43	0.1%
0	32	0.1%
8	22	< 0.1%
10	8	< 0.1%
Other values (4)	11	< 0.1%
(Missing)	13615	23.6%

Value	Count	Frequency (%)
0	32	0.1%
1	1616	2.8%
2	9515	16.5%
3	19704	34.1%
4	10524	18.2%
5	2411	4.2%
6	269	0.5%
7	43	0.1%
8	22	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
20	2	< 0.1%
16	2	< 0.1%
12	3	< 0.1%
10	8	< 0.1%
9	4	< 0.1%
8	22	< 0.1%
7	43	0.1%
6	269	0.5%
5	2411	4.2%
4	10524	18.2%

Lattitude
Real number (ℝ)

High correlation Missing

Distinct	11505
Distinct (%)	25.8%
Missing	13208
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%
Mean	-37.810628

Minimum	-38.19043
Maximum	-37.3902
Zeros	0
Zeros (%)	0.0%
Negative	44562
Negative (%)	77.1%
Memory size	451.5 KiB

Quantile statistics

Minimum	-38.19043
5-th percentile	-37.948909
Q1	-37.86268
median	-37.80772
Q3	-37.7547
95-th percentile	-37.674342
Maximum	-37.3902
Range	0.80023
Interquartile range (IQR)	0.10798

Descriptive statistics

Standard deviation	0.090463936
Coefficient of variation (CV)	-0.0023925531
Kurtosis	1.5900214
Mean	-37.810628
Median Absolute Deviation (MAD)	0.0539
Skewness	-0.24674112
Sum	-1684917.2
Variance	0.0081837237
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-37.8361	44	0.1%
-37.8424	38	0.1%
-37.7956	31	0.1%
-37.8198	31	0.1%
-37.847	30	0.1%
-37.8536	29	0.1%
-37.8167	29	0.1%
-37.8127	29	0.1%
-37.8415	28	< 0.1%
-37.8117	27	< 0.1%
Other values (11495)	44246	76.6%
(Missing)	13208	22.9%

Value	Count	Frequency (%)
-38.19043	2	< 0.1%
-38.1856	2	< 0.1%
-38.18463	2	< 0.1%
-38.18418	2	< 0.1%
-38.18255	2	< 0.1%
-38.18163	3	< 0.1%
-38.17928	2	< 0.1%
-38.17829	2	< 0.1%
-38.17745	3	< 0.1%
-38.17436	2	< 0.1%

Value	Count	Frequency (%)
-37.3902	2	< 0.1%
-37.3951	2	< 0.1%
-37.3978	2	< 0.1%
-37.39946	2	< 0.1%
-37.4072	2	< 0.1%
-37.40744	2	< 0.1%
-37.40758	2	< 0.1%
-37.40853	2	< 0.1%
-37.4128	2	< 0.1%
-37.41318	2	< 0.1%

YearBuilt
Real number (ℝ)

Missing

Distinct	157
Distinct (%)	0.6%
Missing	31927
Missing (%)	55.3%
Infinite	0
Infinite (%)	0.0%
Mean	1965.039

Minimum	1196
Maximum	2106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	507.9 KiB

Quantile statistics

Minimum	1196
5-th percentile	1900
Q1	1940
median	1970
Q3	2000
95-th percentile	2013
Maximum	2106
Range	910
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	37.652234
Coefficient of variation (CV)	0.019161062
Kurtosis	12.69246
Mean	1965.039
Median Absolute Deviation (MAD)	30
Skewness	-1.1559976
Sum	50782502
Variance	1417.6907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1970	2399	4.2%
1960	2088	3.6%
1950	1820	3.2%
1980	1178	2.0%
1900	985	1.7%
2000	962	1.7%
1920	922	1.6%
1930	910	1.6%
1910	816	1.4%
1890	761	1.3%
Other values (147)	13002	22.5%
(Missing)	31927	55.3%

Value	Count	Frequency (%)
1196	2	< 0.1%
1820	2	< 0.1%
1830	2	< 0.1%
1850	6	< 0.1%
1854	4	< 0.1%
1855	2	< 0.1%
1856	2	< 0.1%
1857	2	< 0.1%
1860	18	< 0.1%
1862	2	< 0.1%

Value	Count	Frequency (%)
2106	2	< 0.1%
2019	2	< 0.1%
2018	8	< 0.1%
2017	131	0.2%
2016	208	0.4%
2015	260	0.5%
2014	360	0.6%
2013	415	0.7%
2012	541	0.9%
2011	405	0.7%

Suburb
Categorical

High cardinality

Distinct	347
Distinct (%)	0.6%
Missing	2
Missing (%)	< 0.1%
Memory size	141.1 KiB

Reservoir	1381
Bentleigh East	962
Richmond	902
Glen Iris	838
Kew	777
Other values (342)	52908

Length

Max length	18
Median length	15
Mean length	9.8191386
Min length	3

Characters and Unicode

Total characters	567232
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bentleigh East
2nd row	Hampton
3rd row	Craigieburn
4th row	Brighton
5th row	Melbourne

Common Values

Value	Count	Frequency (%)
Reservoir	1381	2.4%
Bentleigh East	962	1.7%
Richmond	902	1.6%
Glen Iris	838	1.5%
Kew	777	1.3%
Brighton	764	1.3%
Preston	759	1.3%
Brunswick	734	1.3%
Camberwell	732	1.3%
Hawthorn	727	1.3%
Other values (337)	49192	85.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
east	4523	5.7%
north	3025	3.8%
south	2276	2.9%
west	1832	2.3%
melbourne	1745	2.2%
bentleigh	1481	1.9%
park	1476	1.9%
brunswick	1451	1.8%
brighton	1406	1.8%
reservoir	1381	1.7%
Other values (293)	59132	74.2%

Most occurring characters

Value	Count	Frequency (%)
e	50902	9.0%
r	48025	8.5%
o	47720	8.4%
n	41387	7.3%
a	39027	6.9%
t	34390	6.1%
l	31745	5.6%
i	26185	4.6%
s	25790	4.5%
	21960	3.9%
Other values (39)	200101	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	567232	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	50902	9.0%
r	48025	8.5%
o	47720	8.4%
n	41387	7.3%
a	39027	6.9%
t	34390	6.1%
l	31745	5.6%
i	26185	4.6%
s	25790	4.5%
	21960	3.9%
Other values (39)	200101	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	567232	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	50902	9.0%
r	48025	8.5%
o	47720	8.4%
n	41387	7.3%
a	39027	6.9%
t	34390	6.1%
l	31745	5.6%
i	26185	4.6%
s	25790	4.5%
	21960	3.9%
Other values (39)	200101	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	567232	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	50902	9.0%
r	48025	8.5%
o	47720	8.4%
n	41387	7.3%
a	39027	6.9%
t	34390	6.1%
l	31745	5.6%
i	26185	4.6%
s	25790	4.5%
	21960	3.9%
Other values (39)	200101	35.3%

	Bathroom	Bedroom2	BuildingArea	Car	CouncilArea	Distance	Landsize	Lattitude	Longtitude	Method	Price	Propertycount	Regionname	Rooms	Type	YearBuilt
Bathroom	1.000	0.612	0.671	0.369	0.108	0.171	0.218	-0.069	0.145	0.040	0.374	-0.015	0.077	0.616	0.211	0.221
Bedroom2	0.612	1.000	0.752	0.472	0.158	0.333	0.472	0.009	0.161	0.032	0.453	-0.041	0.100	0.971	0.420	0.004
BuildingArea	0.671	0.752	1.000	0.466	0.044	0.247	0.455	-0.048	0.152	0.000	0.553	-0.042	0.022	0.763	0.023	0.075
Car	0.369	0.472	0.466	1.000	0.081	0.318	0.408	-0.013	0.124	0.029	0.246	-0.021	0.034	0.468	0.125	0.132
CouncilArea	0.108	0.158	0.044	0.081	1.000	0.685	0.104	0.739	0.765	0.082	0.175	0.420	0.850	0.153	0.257	0.191
Distance	0.171	0.333	0.247	0.318	0.685	1.000	0.430	-0.026	0.319	0.044	-0.190	-0.086	0.433	0.331	0.199	0.331
Landsize	0.218	0.472	0.455	0.408	0.104	0.430	1.000	0.022	0.250	0.009	0.271	-0.045	0.053	0.474	0.000	-0.072
Lattitude	-0.069	0.009	-0.048	-0.013	0.739	-0.026	0.022	1.000	-0.359	0.043	-0.283	-0.049	0.455	0.008	0.139	0.098
Longtitude	0.145	0.161	0.152	0.124	0.765	0.319	0.250	-0.359	1.000	0.047	0.272	0.046	0.582	0.157	0.142	-0.009
Method	0.040	0.032	0.000	0.029	0.082	0.044	0.009	0.043	0.047	1.000	0.062	0.032	0.055	0.034	0.064	0.029
Price	0.374	0.453	0.553	0.246	0.175	-0.190	0.271	-0.283	0.272	0.062	1.000	-0.042	0.151	0.507	0.231	-0.381
Propertycount	-0.015	-0.041	-0.042	-0.021	0.420	-0.086	-0.045	-0.049	0.046	0.032	-0.042	1.000	0.202	-0.063	0.141	0.009
Regionname	0.077	0.100	0.022	0.034	0.850	0.433	0.053	0.455	0.582	0.055	0.151	0.202	1.000	0.089	0.136	0.104
Rooms	0.616	0.971	0.763	0.468	0.153	0.331	0.474	0.008	0.157	0.034	0.507	-0.063	0.089	1.000	0.438	-0.009
Type	0.211	0.420	0.023	0.125	0.257	0.199	0.000	0.139	0.142	0.064	0.231	0.141	0.136	0.438	1.000	0.180
YearBuilt	0.221	0.004	0.075	0.132	0.191	0.331	-0.072	0.098	-0.009	0.029	-0.381	0.009	0.104	-0.009	0.180	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Longtitude	BuildingArea	Type	SellerG	Distance	Landsize	Postcode	Date	Price	Bathroom	Rooms	Regionname	Car	CouncilArea	Address	Method	Propertycount	Bedroom2	Lattitude	YearBuilt	Suburb
0	145.05510	NaN	h	Buxton	13.8	648.0	3165.0	2017-09-16	1520000.0	2	4	Southern Metropolitan	2	Glen Eira City Council	794 North Rd	S	10969	4	-37.90609	<NA>	Bentleigh East
1	145.01357	180.0	h	hockingstuart	13.8	662.0	3188.0	2017-10-28	2025000.0	2	4	Southern Metropolitan	2	Bayside City Council	10 Fewster Rd	S	5454	4	-37.93800	1920	Hampton
2	144.93683	110.0	h	YPA	20.6	641.0	3064.0	2017-09-09	595000.0	1	4	Northern Metropolitan	0	Hume City Council	11 Abercarn Av	S	15510	4	-37.61114	1990	Craigieburn
3	144.99881	110.0	u	Buxton	10.5	100.0	3186.0	2017-07-29	845000.0	1	2	Southern Metropolitan	1	Bayside City Council	6/105 Cochrane St	SP	10579	2	-37.89569	1960	Brighton
4	NaN	NaN	u	MICM	2.8	NaN	3000.0	2016-08-10	370000.0	<NA>	2	Northern Metropolitan	<NA>	Melbourne City Council	608/547 Flinders La	S	17496	<NA>	NaN	<NA>	Melbourne
5	NaN	NaN	h	Raine	20.6	NaN	3064.0	2017-05-27	700000.0	<NA>	4	Northern Metropolitan	<NA>	Hume City Council	3 Gaussberg Wk	S	5833	<NA>	NaN	<NA>	Roxburgh Park
6	144.64003	170.0	h	YPA	14.7	533.0	3030.0	2017-07-29	482500.0	2	4	Western Metropolitan	0	Wyndham City Council	46 Coventry Dr	S	16166	4	-37.89337	1980	Werribee
7	145.07505	NaN	h	Jellis	7.3	802.0	3146.0	2018-06-01	NaN	1	3	Southern Metropolitan	3	Boroondara City Council	114 Summerhill Rd	S	10412	3	-37.85902	<NA>	Glen Iris
8	145.12728	128.0	h	Ray	16.2	382.0	3094.0	2017-01-07	655000.0	2	3	Eastern Metropolitan	3	Banyule City Council	349 Main Rd	S	3891	3	-37.72857	1970	Montmorency
9	145.05250	NaN	h	Nelson	7.5	378.0	3102.0	2016-10-15	1300000.0	1	3	Southern Metropolitan	2	Boroondara City Council	33a Westbrook St	S	2671	3	-37.79560	<NA>	Kew East

	Longtitude	BuildingArea	Type	SellerG	Distance	Landsize	Postcode	Date	Price	Bathroom	Rooms	Regionname	Car	CouncilArea	Address	Method	Propertycount	Bedroom2	Lattitude	YearBuilt	Suburb
57760	145.06623	NaN	h	Marshall	8.4	868.0	3126.0	2017-09-09	NaN	2	5	Southern Metropolitan	2	Boroondara City Council	9 Rubens Gr	S	3265	5	-37.82094	<NA>	Canterbury
57761	144.89610	75.0	u	Sweeney	6.4	0.0	3011.0	2016-06-18	370000.0	1	2	Western Metropolitan	1	Maribyrnong City Council	405/250 Barkly St	SP	7570	2	-37.79920	2007	Footscray
57762	144.97286	43.0	u	McGrath	4.0	NaN	3057.0	2017-08-19	360000.0	1	1	Northern Metropolitan	0	Moreland City Council	301/455 Lygon St	SP	5533	1	-37.76389	2014	Brunswick East
57763	NaN	NaN	t	Barry	12.4	NaN	3108.0	2017-07-15	1220000.0	<NA>	4	Eastern Metropolitan	<NA>	Manningham City Council	3/8 Persimmon Ct	PI	9028	<NA>	NaN	<NA>	Doncaster
57764	145.06340	NaN	h	Woodards	13.9	710.0	3165.0	2016-10-15	1085000.0	2	3	Southern Metropolitan	4	Glen Eira City Council	14 Vasey St	S	10969	3	-37.93480	<NA>	Bentleigh East
57765	NaN	NaN	h	Marshall	9.2	NaN	3104.0	2016-12-11	2190000.0	<NA>	5	Southern Metropolitan	<NA>	Boroondara City Council	53 Trentwood Av	S	7809	<NA>	NaN	<NA>	Balwyn North
57766	145.33967	391.0	h	Eview	35.2	603.0	3806.0	2017-08-07	950000.0	4	4	Eastern Victoria	2	Casey City Council	9 Sunview Pl	SA	17093	4	-38.06788	2007	Berwick
57767	145.06090	96.0	u	Miles	11.4	151.0	3084.0	2016-11-27	618000.0	1	2	Eastern Metropolitan	1	Banyule City Council	4/32 Lower Plenty Rd	S	3540	2	-37.74580	1980	Rosanna
57768	144.99250	84.0	h	Fletchers	3.3	176.0	3141.0	2016-09-24	NaN	1	2	Southern Metropolitan	0	Melbourne City Council	6 Cliff St	S	14887	2	-37.84360	1940	South Yarra
57769	NaN	NaN	u	Jellis	2.7	NaN	3141.0	2017-11-25	750000.0	<NA>	3	Southern Metropolitan	<NA>	Melbourne City Council	9/7 Clowes St	PI	14887	<NA>	NaN	<NA>	South Yarra

Most frequently occurring

	Longtitude	BuildingArea	Type	SellerG	Distance	Landsize	Postcode	Date	Price	Bathroom	Rooms	Regionname	Car	CouncilArea	Address	Method	Propertycount	Bedroom2	Lattitude	YearBuilt	Suburb	# duplicates
20099	145.16777	226.0	t	Jellis	15.4	405.0	3131.0	2017-06-17	NaN	3	3	Eastern Metropolitan	2	Manningham City Council	1/7 Lilian St	SP	4973	3	-37.82678	2000	Nunawading	4
12	144.54532	189.0	h	Reliance	29.8	576.0	3338.0	2017-07-29	456000.0	2	4	Western Victoria	2	Melton City Council	30 Pinrush Rd	S	3122	4	-37.69104	2010	Brookfield	3
17	144.55106	119.0	h	Reliance	31.7	740.0	3337.0	2017-05-27	410000.0	2	3	Northern Victoria	2	Melton City Council	3 Becker Cl	S	6065	3	-37.68052	1985	Melton West	3
18	144.55200	149.0	h	hockingstuart	31.7	NaN	3337.0	2017-07-10	469500.0	2	3	Northern Victoria	2	Melton City Council	21 Trethowan Av	S	6065	3	-37.68467	1990	Melton West	3
24	144.55666	115.0	h	hockingstuart	31.7	524.0	3337.0	2017-09-23	439000.0	2	3	Northern Victoria	2	Melton City Council	24 Marlo Dr	S	6065	3	-37.66869	<NA>	Melton West	3
25	144.55682	172.0	h	hockingstuart	31.7	NaN	3337.0	2017-09-16	486000.0	1	4	Northern Victoria	4	Melton City Council	12 Gloucester Wy	S	6065	4	-37.67358	1980	Melton West	3
59	144.57211	NaN	h	hockingstuart	29.8	603.0	3338.0	2017-06-17	419000.0	1	3	Western Victoria	3	Melton City Council	24 Brennan St	S	4718	3	-37.70478	<NA>	Melton South	3
74	144.57419	124.0	h	FN	29.8	NaN	3338.0	2018-06-01	361000.0	1	3	Western Victoria	1	Melton City Council	14 Thomas Av	SP	4718	3	-37.69382	1970	Melton South	3
78	144.57645	105.0	h	YPA	29.8	649.0	3338.0	2017-08-26	395000.0	1	3	Western Victoria	1	Melton City Council	1 Fraser St	S	4718	3	-37.69891	1975	Melton South	3
85	144.57760	223.0	h	PRDNationwide	31.7	960.0	3337.0	2017-11-11	710000.0	5	12	Western Victoria	3	Melton City Council	213 Station Rd	S	3600	12	-37.68830	1970	Melton	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters